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We are seeking a senior researcher with a strong scientific background, deep passion for innovation, proven leadership experience, and a collaborative mindset to lead a research group dedicated to
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closely related field Strong background in analog and mixed-signal CMOS circuit design Familiarity with biomedical signal acquisition (especially EEG) is highly valued Experience with standard IC design
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limitations of current EMG-based techniques, particularly in dynamic movement tasks. The PhD student will focus on the design, development, and validation of the HD-sEMG/ultrasound system. This includes
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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promotes sustainable economic growth and higher levels of technological innovation. It will benefit society and create a safer and smarter world by providing decent work for all. Furthermore, autonomous
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or cheminformatics are advantages. The candidate must be able to work independently, but also participate in
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept. Responsibilities and